Q&A with Ben Lamm, Founder and CEO at Hypergiant

Ben Lamm, Founder and CEO at Hypergiant, has been launching and building disruptive businesses for over a decade. Prior to Hypergiant, he was the CEO and founder of Conversable, the leading conversational intelligence platform that helps brands reach their customers through automated experiences on all major voice and text platforms.

In addition to leading and growing his companies, he is active in angel investing, incubators, and startup communities, with investments in the software and emerging tech space. He has served as an active voice in the tech community, as well as an active mentor to fellow entrepreneurs on how to build disruptive businesses through accelerators and corporate programs.

Make sure your messaging is extremely clear. A lot of companies do not make it clear to their audience what they do. If it’s not clear, customers won’t convert or you will get the wrong customers.



MEDIA 7: Could you please tell us a little bit about yourself? How did you come up with the idea of Hypergiant?
BEN LAMM:
I’ve probably been thinking about Hypergiant since I watched my first sci-fi movie as a kid, if we’re being totally honest. Early ideas around artificial intelligence have played a defining role in my career because I’m a big believer in the “if you dream it, you can build” theory. AI always seemed like something we could figure out and each day with Hypergiant we get closer. We get closer because I’ve built four other companies, grown them, and they have ultimately been acquired. Over my various ventures, I have learned how to create strong great teams, while staying abreast of growing trends and science. But, it probably all started with movies.

Hypergiant is building a next-generation AI platform to help AI service companies and enterprises build rapidly deployable solutions to solve critical use cases around critical infrastructure, space, and defense.

M7: What are your major marketing and advertising tactics to drive more buyer traffic to the site?
BL:
There are probably two things: we stand on a very strong brand and we have a lot to say. We publish a lot and encourage our employees to develop points of view about the world and then to go and write and share about that work. The majority of our site leads come because customers have heard or read something that the team has written, or the great work they have done, and then people reach out to learn more. Those leads convert because we have an extremely strong brand that is a product of a focused vision on the future based on an understanding of the right now. It serves a powerful punch: good ideas presented in a fun and not boring way.


Consumers are savvy and want products and solutions that are tailored to their needs and that will not only unharm but help their environment.



M7: How does AI impact the end result for your consumers?
BL:
We live in a machine learning world. This means that all of our processes and services are going to change in response to the rising dominance of machine learning and AI. For our customers this is apparent in a lot of different ways: AI powers HR solutions, logistics processes, search results, and satellites. And, they use this in-house, for their customers and to power dashboards that are utilized inside and outside their companies.

M7: How do you prepare for an AI-centric world as a Business Leader?
BL:
Learn about it. One of the things I see often is that business leaders are so heads down in their own industry they miss obvious opportunities. This is a big issue in AI where everyone thinks “oh that’s so complicated, we can figure it out later.” The truth is if you are learning about it now, you are building the future that best benefits your business.


This is a big issue in AI where everyone thinks “oh that’s so complicated, we can figure it out later.” The truth is if you are learning about it now, you are building the future that best benefits your business.



M7: What according to you is the best way to find a qualified audience for your services?
BL: 
Make sure your messaging is extremely clear. A lot of companies do not make it clear to their audience what they do. If it’s not clear, customers won’t convert or you will get the wrong customers. You want to be clear and say: we sell x, our customers are y. I think that cuts down on a lot of issues that complicate the path for a qualified audience. But, this requires that you know exactly what you sell and who you build for and that requires some serious soul-searching on behalf of many.

M7: What do you believe are the top three product marketing challenges in the post COVID-19 era?
BL: 1) Fear:
people are going to have a lot of PTSD for a long time post COVID-19. So, the first thing is understanding their fear and abating it. People won’t want to try new things. They will be leery of things that feel foreign or strange. I think that will be a struggle for anyone with something new and novel.

2) Environment: We have a massive climate change crisis that we cannot ignore. If your product doesn’t take that into account, I think you are going to struggle in the long term. Consumers are savvy and want products and solutions that are tailored to their needs and that will not only unharm but help their environment. You can no longer “greenwash” things - you must do the right thing and say the right thing.

3) Hands-on: I think people will still not want to go to large convening places like malls which means that hands-on demos will have to be more personal, in smaller locations, and with fewer attendees -- that means things will be more expensive. The challenge will be to figure out how to reach scale while not being in places of scale and also not being online all the time. Online fatigue is also a real challenge.

M7: What is your marketing mantra to stand out in an overly saturated MarTech space?
BL:
“Be us. Be better. Think ahead.”

ABOUT HYPERGIANT

Hypergiant Industries focuses on solving humanity's most challenging problems and is leading the way in data intelligence as humanity enters the Fourth Industrial Revolution of AI. To accomplish this mission, the company creates emerging AI-driven technologies and develops world-changing commercial products and solutions for Fortune 500 and government clients. As the parent corporation over a roster of divisions, Hypergiant Industries serves verticals that include space science and exploration, satellite communications, aviation, defense, healthcare, transportation and municipal infrastructure, food and beverage, retail and more.

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SingleStore | January 25, 2024

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In an explosive generative AI landscape, companies are looking for a modern data platform that’s ready for enterprise AI use cases — one with best-available tooling to accelerate development, simultaneously allowing them to marry structured or semi-structured data residing in enterprise systems with unstructured data lying in data lakes. “We believe that a data platform should both create new revenue streams while also decreasing technological costs and complexity for customers. 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SingleStore has announced support for vector search using Approximate Nearest Neighbor (ANN) vector indexing algorithms, leading to 800-1,000x faster vector search performance than precise methods (KNN). With both full-text and indexed vector search capabilities, SingleStore offers developers true hybrid search that takes advantage of the full power of SQL for queries, joins, filters and aggregations. These capabilities firmly place SingleStore above vector-only databases that require niche query languages and are not designed to meet enterprise security and resiliency needs. Free shared tier. SingleStore has announced a new cloud-based Free Shared Tier that’s designed for startups and developers to quickly bring their ideas to life — without the need to commit to a paid plan. On-demand compute service for GPUs and CPUs. SingleStore announces a compute service that works alongside SingleStore’s native Notebooks to let developers spin up GPUs and CPUs to run database-adjacent workloads including data preparation, ETL, third-party native application frameworks, etc. This capability brings compute to algorithms, rather than the other way around, enabling developers to build highly performant AI applications safely and securely using SingleStore — without unnecessary data movement. New CDC capabilities for data ingest and egress. To ease the burden and costs of moving data in and out of SingleStore, SingleStore is adding native capabilities for real-time Change Data Capture (CDC) in for MongoDB®, MySQL and ingestion from Apache Iceberg without requiring other third party CDC tools. SingleStore will also support CDC out capabilities that ease migrations and enable the use of SingleStore as a source for other applications and databases like data warehouses and lakehouses. SingleStore Kai™. Now generally available, and ready for both analytical and transactional processing for apps originally built on MongoDB. Announced in public preview in early 2023, SingleStore Kai is an API to deliver over 100x faster analytics on MongoDB® with no query changes or data transformations required. Today, SingleStore Kai supports BSON data format natively, has improved transactional performance, increased performance for arrays and offers industry-leading compatibility with MongoDB query language. Projections: To further advance as the world’s fastest HTAP database, SingleStore has added Projections. Projections allow developers to greatly speed up range filters and group by operations by introducing secondary sort and shard keys. Query performance improvements range from 2-3x or more, depending on the size of the table. With this latest release, SingleStore becomes the industry’s first and only real-time data platform designed for all applications, analytics and AI. SingleStore supports high-throughput ingest performance, ACID transactions and low-latency analytics; and structured, semi-structured (JSON, BSON, text) and unstructured data (vector embeddings of audio, video, images, PDFs, etc.). Finally, SingleStore’s data platform is designed not just with developers in mind, but also ML engineers, data engineers and data scientists. “Our new features and capabilities advance SingleStore’s mission of offering a real-time data platform for the next wave of gen AI and data applications,” said Nadeem Asghar, SVP, Product Management + Strategy at SingleStore. “New features, including vector search, Projections, Apache Iceberg, Scheduled Notebooks, autoscaling, GPU compute services, SingleStore Kai™, and the Free Shared Tier allow startups — as well as global enterprises — to quickly build and scale enterprise-grade real-time AI applications. 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Radiant Logic Announces RadiantOne AI, with New Generative AI Data Assistant “AIDA”

Radiant Logic | January 11, 2024

Radiant Logic, the Identity Data Fabric company, today unveiled RadiantOne AI, its data lake powered Artificial Intelligence engine, and AIDA, its Generative AI Data Assistant. RadiantOne AI is designed to complement your existing tech stack and governance products by correlating data across multiple sources and providing contextual information to drive better decision making. The result is a radical reduction in the time and resources needed to gather the data required to effectively meet audit demands—meaning fewer security gaps and increased compliance with organizational policies. The first capability to be unveiled on RadiantOne AI is a truly automated user access review (UAR) process, expertly guided by AIDA. Many business leaders are familiar with the tedious UAR process – it’s crucial for demonstrating compliance and improving organizational security posture. But laborious processes can often end in a “bulk approval” to save time and check an audit box instead of accurately reviewing access rights to ensure the right business outcomes. RadiantOne’s AI-driven approach will be a paradigm shift in the way people work, forever transforming and streamlining the usually time-consuming UAR process down to days and minutes instead of months. “Historically, user access reviews are a highly manual process–a ‘necessary evil’ within security practices. This approach not only creates fatigue for the team but also introduces a considerable amount of risk,” says Dr. John Pritchard, Chief Product Officer at Radiant Logic. “While this may work in the short term to satisfy auditor requirements, the company’s assets are never truly protected. There is also still the risk that something may be overlooked, or someone within the business has retained access to something they shouldn’t. With RadiantOne AI and AIDA, existing IAM and IGA processes can be automated and simplified for overworked teams trying to comb through mountains of user access data to make the right decisions to protect their organizations.” With RadiantOne AI, conducting a user access review becomes as easy as following AIDA’s guidance. Using the power of large language models to drive advanced data correlation, contextualization and analysis, combined with an intuitive data visualization dashboard, AIDA will reinvent the user access review ritual. Based on an organization's proprietary data, the fully guided UAR experience will allow reviewers to interact and pose questions to AIDA using natural human language, like “where does this access come from?” or “show me who else has these access rights?” AIDA will highlight any potential user access risks, offer expert insight, and suggest remediations or access modifications based on an organization’s policies. Any changes, such as low risk bulk access approvals or revoking atypical access rights, are completed via a click of a button, so there’s less training required to complete the reviews and less risk of human error during the process. RadiantOne AI’s AIDA-guided user access review capability works to provide enterprise organizations with: Automated workflows: Leverage vast data sets and contextual insights to make intelligent and confident decisions about access rights. Simplified compliance: Easily detect over-privileged accounts or atypical access rights with intuitive data visualization techniques. Greater visibility into user actions: Get beyond roles quickly to see who has access to what and how they received that access so insights and remediations are easily actionable. Click-button remediation: Based on the insights and recommendations from AIDA, reviewers can approve or revoke access or atypical rights individually or take bulk approval/rejection actions with the click of a button. Data into the hands of business owners: Put relevant, risk-based identity data insights into the hands of business users in the language they understand to make it a breeze to adhere to compliance policies. “User access reviews with AIDA are just the beginning,” comments Joe Sander, Radiant Logic’s CEO. “Using RadiantOne’s AI engine, we see potential to revolutionize identity data management, governance, risk, compliance and cybersecurity processes by removing complexity as a roadblock. This frees up critical IT and security resources to focus on other business-critical tasks and expands the role of identity to truly be a business enabler.” RadiantOne AI comes on the heels of the completion of the integration of Brainwave Identity Analytics into the RadiantOne Identity Data Platform. AIDA will initially be available as a complement to the RadiantOne Identity Analytics solution. About Radiant Logic Radiant Logic, the identity data experts, helps organizations turn identity data into a strategic asset that drives automated governance, enhanced security, and operational efficiency. Our RadiantOne Identity Data Platform removes complexity as a roadblock to identity-first strategies by creating an authoritative data source for real-time, context-aware controls. We provide visibility and actionable insights to intelligently detect and remediate risk using AI/ML-powered identity analytics. With RadiantOne, organizations are able to tap into the wealth of information across the infrastructure, combining context and analytics to deploy governance that works for the most advanced use cases.

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Hypergiant Industries focuses on solving humanity's most challenging problems and is leading the way in data intelligence as humanity enters the Fourth Industrial Revolution of AI. To accomplish this mission, the company creates emerging AI-driven technologies and develops world-changing commercial ...

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